Ammunition Type Optimization Based on Damage Ability Matching

Yuan Li, Xianming Shi, Yajuan Li, Wei Xia and Jiangbo Zhao

Mathematical Problems in Engineering, 2021, vol. 2021, 1-8

Abstract:

At present, there exist many kinds of new ammunition, with great differences in application occasions. In the process of ammunition preparation, it is usually necessary to configure a variety of ammunition to meet the needs of attacking different targets. It is essentially a multiple criteria decision-making problem to select the appropriate ammunition type for different targets and provide a reliable decision support for accurate ammunition support. On this basis, the matching degree of ammunition target damage ability is selected as the ammunition type optimization standard, the objective weighting method, entropy weight method, is selected to determine the evaluation index weight, and the VIKOR method is used to gather the ammunition type optimization evaluation value, which overcomes the uncertainty caused by subjective weighting and the information loss caused by index value conversion and takes into account the group benefit value and individual regret value. Through an example, the sensitivity analysis of the decision mechanism coefficient in the VIKOR method is carried out, and the results are compared with those of the TOPSIS method to verify the stability and effectiveness of this method in the process of ammunition type optimization.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/MPE/2021/5934172.pdf (application/pdf)
http://downloads.hindawi.com/journals/MPE/2021/5934172.xml (text/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:5934172

DOI: 10.1155/2021/5934172

Access Statistics for this article

More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().